/* Copyright 2016 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

/* Modifications Copyright (c) Microsoft. */

#include "orttraining/core/framework/tensorboard/crc32c.h"

namespace onnxruntime {
namespace training {
namespace tensorboard {

static const uint32_t crc32c_table[256] = {
    0x00000000,
    0xf26b8303,
    0xe13b70f7,
    0x1350f3f4,
    0xc79a971f,
    0x35f1141c,
    0x26a1e7e8,
    0xd4ca64eb,
    0x8ad958cf,
    0x78b2dbcc,
    0x6be22838,
    0x9989ab3b,
    0x4d43cfd0,
    0xbf284cd3,
    0xac78bf27,
    0x5e133c24,
    0x105ec76f,
    0xe235446c,
    0xf165b798,
    0x030e349b,
    0xd7c45070,
    0x25afd373,
    0x36ff2087,
    0xc494a384,
    0x9a879fa0,
    0x68ec1ca3,
    0x7bbcef57,
    0x89d76c54,
    0x5d1d08bf,
    0xaf768bbc,
    0xbc267848,
    0x4e4dfb4b,
    0x20bd8ede,
    0xd2d60ddd,
    0xc186fe29,
    0x33ed7d2a,
    0xe72719c1,
    0x154c9ac2,
    0x061c6936,
    0xf477ea35,
    0xaa64d611,
    0x580f5512,
    0x4b5fa6e6,
    0xb93425e5,
    0x6dfe410e,
    0x9f95c20d,
    0x8cc531f9,
    0x7eaeb2fa,
    0x30e349b1,
    0xc288cab2,
    0xd1d83946,
    0x23b3ba45,
    0xf779deae,
    0x05125dad,
    0x1642ae59,
    0xe4292d5a,
    0xba3a117e,
    0x4851927d,
    0x5b016189,
    0xa96ae28a,
    0x7da08661,
    0x8fcb0562,
    0x9c9bf696,
    0x6ef07595,
    0x417b1dbc,
    0xb3109ebf,
    0xa0406d4b,
    0x522bee48,
    0x86e18aa3,
    0x748a09a0,
    0x67dafa54,
    0x95b17957,
    0xcba24573,
    0x39c9c670,
    0x2a993584,
    0xd8f2b687,
    0x0c38d26c,
    0xfe53516f,
    0xed03a29b,
    0x1f682198,
    0x5125dad3,
    0xa34e59d0,
    0xb01eaa24,
    0x42752927,
    0x96bf4dcc,
    0x64d4cecf,
    0x77843d3b,
    0x85efbe38,
    0xdbfc821c,
    0x2997011f,
    0x3ac7f2eb,
    0xc8ac71e8,
    0x1c661503,
    0xee0d9600,
    0xfd5d65f4,
    0x0f36e6f7,
    0x61c69362,
    0x93ad1061,
    0x80fde395,
    0x72966096,
    0xa65c047d,
    0x5437877e,
    0x4767748a,
    0xb50cf789,
    0xeb1fcbad,
    0x197448ae,
    0x0a24bb5a,
    0xf84f3859,
    0x2c855cb2,
    0xdeeedfb1,
    0xcdbe2c45,
    0x3fd5af46,
    0x7198540d,
    0x83f3d70e,
    0x90a324fa,
    0x62c8a7f9,
    0xb602c312,
    0x44694011,
    0x5739b3e5,
    0xa55230e6,
    0xfb410cc2,
    0x092a8fc1,
    0x1a7a7c35,
    0xe811ff36,
    0x3cdb9bdd,
    0xceb018de,
    0xdde0eb2a,
    0x2f8b6829,
    0x82f63b78,
    0x709db87b,
    0x63cd4b8f,
    0x91a6c88c,
    0x456cac67,
    0xb7072f64,
    0xa457dc90,
    0x563c5f93,
    0x082f63b7,
    0xfa44e0b4,
    0xe9141340,
    0x1b7f9043,
    0xcfb5f4a8,
    0x3dde77ab,
    0x2e8e845f,
    0xdce5075c,
    0x92a8fc17,
    0x60c37f14,
    0x73938ce0,
    0x81f80fe3,
    0x55326b08,
    0xa759e80b,
    0xb4091bff,
    0x466298fc,
    0x1871a4d8,
    0xea1a27db,
    0xf94ad42f,
    0x0b21572c,
    0xdfeb33c7,
    0x2d80b0c4,
    0x3ed04330,
    0xccbbc033,
    0xa24bb5a6,
    0x502036a5,
    0x4370c551,
    0xb11b4652,
    0x65d122b9,
    0x97baa1ba,
    0x84ea524e,
    0x7681d14d,
    0x2892ed69,
    0xdaf96e6a,
    0xc9a99d9e,
    0x3bc21e9d,
    0xef087a76,
    0x1d63f975,
    0x0e330a81,
    0xfc588982,
    0xb21572c9,
    0x407ef1ca,
    0x532e023e,
    0xa145813d,
    0x758fe5d6,
    0x87e466d5,
    0x94b49521,
    0x66df1622,
    0x38cc2a06,
    0xcaa7a905,
    0xd9f75af1,
    0x2b9cd9f2,
    0xff56bd19,
    0x0d3d3e1a,
    0x1e6dcdee,
    0xec064eed,
    0xc38d26c4,
    0x31e6a5c7,
    0x22b65633,
    0xd0ddd530,
    0x0417b1db,
    0xf67c32d8,
    0xe52cc12c,
    0x1747422f,
    0x49547e0b,
    0xbb3ffd08,
    0xa86f0efc,
    0x5a048dff,
    0x8ecee914,
    0x7ca56a17,
    0x6ff599e3,
    0x9d9e1ae0,
    0xd3d3e1ab,
    0x21b862a8,
    0x32e8915c,
    0xc083125f,
    0x144976b4,
    0xe622f5b7,
    0xf5720643,
    0x07198540,
    0x590ab964,
    0xab613a67,
    0xb831c993,
    0x4a5a4a90,
    0x9e902e7b,
    0x6cfbad78,
    0x7fab5e8c,
    0x8dc0dd8f,
    0xe330a81a,
    0x115b2b19,
    0x020bd8ed,
    0xf0605bee,
    0x24aa3f05,
    0xd6c1bc06,
    0xc5914ff2,
    0x37faccf1,
    0x69e9f0d5,
    0x9b8273d6,
    0x88d28022,
    0x7ab90321,
    0xae7367ca,
    0x5c18e4c9,
    0x4f48173d,
    0xbd23943e,
    0xf36e6f75,
    0x0105ec76,
    0x12551f82,
    0xe03e9c81,
    0x34f4f86a,
    0xc69f7b69,
    0xd5cf889d,
    0x27a40b9e,
    0x79b737ba,
    0x8bdcb4b9,
    0x988c474d,
    0x6ae7c44e,
    0xbe2da0a5,
    0x4c4623a6,
    0x5f16d052,
    0xad7d5351,
};

uint32_t Crc32cUpdate(uint32_t crc, const char* data, size_t size) {
  crc = crc ^ 0xffffffffu;

  const uint8_t* p = reinterpret_cast<const uint8_t*>(data);
  const uint8_t* e = p + size;

  while (p < e) {
    size_t index = (crc & 0xff) ^ *p++;
    crc = (crc32c_table[index] ^ (crc >> 8));
  }

  return crc ^ 0xffffffffu;
}

}  // namespace tensorboard
}  // namespace training
}  // namespace onnxruntime
